Bridge between development and operations by applying a software engineering mindset to system administration.
Exercise appropriate judgment on escalation items and engage the relevant cross functional teams (Dev/QA/IT/Security/etc) to resolve within technology domain.
Build resilience into the application/services so underlying system failures are handled gracefully and do not impact end users. Influence architect / development teams to always be thinking of the rainy-day scenarios....
Data Warehouse Architecture: Design scalable data warehouse solutions, defining data models, ETL/ELT pipelines, and integration patterns to support enterprise analytics.
AI Solution Delivery: Architect AI-powered applications such as intelligent automation, document processing, and decision-support systems, focusing on practical business outcomes.
LLM Integration: Architect solutions leveraging LLMs for use cases such as RAG, intelligent search, content generation, and workflow automation. Evaluate LLM providers and deployment strategies....
Translate business requests and prototypes into high quality applications.
Apply software development practices including E2E SDLC, understanding business specifications, design, coding, test, deployment, release, monitor, support, etc.
Ensure good coding practices and maintain high coding standard....
Translate business requests and prototypes into high quality applications.
Apply software development practices including E2E SDLC, understanding business specifications, design, coding, test, deployment, release, monitor, support, etc.
Ensure good coding practices and maintain high coding standard....
AI Automation Delivery: Design and build AI-powered automation solutions across workflow automation, intelligent processing, and decision support, with a focus on practical business outcomes.
LLM Integration: Build and integrate LLM capabilities into production applications, including intelligent extraction, content understanding, RAG, and workflow automation. Evaluate models, prompts, architectures, and deployment approaches based on the use case.
Anomaly & Fraud Detection: Develop automated checks and detection logic to identify manipulated, tampered, inconsistent, or anomalous inputs. Investigate new patterns and continuously improve these controls as new cases emerge....